AI RESEARCH

EgoSound: Benchmarking Sound Understanding in Egocentric Videos

arXiv CS.CV

ArXi:2602.14122v2 Announce Type: replace Multimodal Large Language Models (MLLMs) have recently achieved remarkable progress in vision-language understanding. Yet, human perception is inherently multisensory, integrating sight, sound, and motion to reason about the world. Among these modalities, sound provides indispensable cues about spatial layout, off-screen events, and causal interactions, particularly in egocentric settings where auditory and visual signals are tightly coupled. To this end, we.